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SotA/Computer Vision/3D Point Cloud Classification

3D Point Cloud Classification

45 benchmarks202 papers

Benchmarks

3D Point Cloud Classification on ModelNet40

Overall AccuracyMean AccuracyAccuracy (%)Classification AccuracyModelNet40 (Average)ModelNet40 (I)ModelNet40 (C)Mean class accuracyNumber of paramsFLOPs

3D Point Cloud Classification on ScanObjectNN

Overall AccuracyMean AccuracyOBJ-BG (OA)OBJ-ONLY (OA)Overall Accuracy (PB_T50_RS)Number of params (M)GFLOPsOBJ_ONLY Accuracy(%)OBJ_BG Accuracy(%)PB_T50_RS Accuracy (%)FLOPsNumber of params

3D Point Cloud Classification on ModelNet40 10-way (10-shot)

Overall AccuracyStandard Deviation

3D Point Cloud Classification on ModelNet40 10-way (20-shot)

Overall AccuracyStandard Deviation

3D Point Cloud Classification on ModelNet40 5-way (10-shot)

Overall AccuracyStandard Deviation

3D Point Cloud Classification on ModelNet40 5-way (20-shot)

Overall AccuracyStandard Deviation

3D Point Cloud Classification on ModelNet40-C

Error Rate

3D Point Cloud Classification on IntrA

F1 score (5-fold)

3D Point Cloud Classification on Objaverse

Objaverse (Average)Objaverse (I)Objaverse (C)

3D Point Cloud Classification on ModelNet10

AccuracyAccuracy (%)

3D Point Cloud Classification on ScanObjectNN 10-way (10-shot)

Overall Accuracy

3D Point Cloud Classification on Sydney Urban Objects

F1

3D Point Cloud Classification on 3R-Scan

Top-10 AccuracyTop-5 Accuracy

3D Point Cloud Classification on Remote Flash LiDAR Vehicles Dataset

mean average precision

3D Point Cloud Classification on ScanObjectNN 10-way (20-shot)

Overall Accuracy

3D Point Cloud Classification on ScanObjectNN 5-way (10-shot)

Overall Accuracy

3D Point Cloud Classification on ScanObjectNN 5-way (20-shot)

Overall Accuracy